Abstract: An image classification system comprises a neural network trained on a synthetic infrared training dataset, including synthetic infrared images of objects rendered from a virtually represented infrared sensor in a virtual three-dimensional scene, the synthetic infrared images being generated using infrared radiation signatures of virtual objects in the virtual three-dimensional scene and an infrared response model of the virtually represented infrared sensor. A system for generating synthetic infrared training data comprises a three-dimensional scene modeling system operable to generate three-dimensional scenes comprising a plurality of objects, each object having an infrared radiation model, and an infrared sensor modeling system operable to model an imaging response for an infrared sensor virtually represented in the three-dimensional scene.

Abstract: Techniques to facilitate radar data processing are disclosed. In one example, a radar system includes a frame generation circuit and a frame processing circuit. The frame generation circuit is configured to receive radar signals. The frame generation circuit is further configured to convert the radar signals to at least one frame having a camera interface format. The frame processing circuit is configured to receive the at least one frame via a camera interface. The frame processing circuit is further configured to process the at least one frame. Related methods and devices are also provided.

Abstract: Systems and methods include an image capture component configured to capture infrared images of a scene, and a logic device configured to identify a target in the images, acquire temperature data associated with the target based on the images, evaluate the temperature data and determine a corresponding temperature classification, and process the identified target in accordance with the temperature classification. The logic device identifies a person and tracks the person across a subset of the images, identify a measurement location for the target in a subset of the images based on target feature points identified by a neural network, and measure a temperature of the location using corresponding values from one or more captured thermal images. The logic device is further configured calculate a core body temperature of the target using the temperature data to determine whether the target has a fever and calibrate using one or more black bodies.

Abstract: High resolution image target classification systems and methods include a proposal component configured to receive a first set data associated with a scene, the first set of data including at least one image of the scene, a multistage neural network comprising a plurality of neural networks, each neural network trained to receive a region of interest and output an object classification in accordance with an associated resource allocation, and an attention coordinator configured to determine regions of interest in the image and allocate each determined region to one of the plurality of neural networks from the multi-scale neural network, in accordance with available system resources. The system may be configured to optimize a probability of detecting objects in the image, while minimizing a number of pixels processed through the multi-scale neural network.

Abstract: Flight based infrared imaging systems and related techniques, and in particular UAS based thermal imaging systems, are provided to improve the monitoring capabilities of such systems over conventional infrared monitoring systems. An infrared imaging system is configured to compensate for various environmental effects (e.g., position and/or strength of the sun, atmospheric effects) to provide high resolution and accuracy radiometric measurements of targets imaged by the infrared imaging system. An infrared imaging system is alternatively configured to monitor and determine environmental conditions, modify data received from infrared imaging systems and other systems, modify flight paths and other commands, and/or create a representation of the environment.

Abstract: An image classification system comprises a neural network trained on a synthetic infrared training dataset, including synthetic infrared images of objects rendered from a virtually represented infrared sensor in a virtual three-dimensional scene, the synthetic infrared images being generated using infrared radiation signatures of virtual objects in the virtual three-dimensional scene and an infrared response model of the virtually represented infrared sensor. A system for generating synthetic infrared training data comprises a three-dimensional scene modeling system operable to generate three-dimensional scenes comprising a plurality of objects, each object having an infrared radiation model, and an infrared sensor modeling system operable to model an imaging response for an infrared sensor virtually represented in the three-dimensional scene.

Abstract: An infrared imaging system is provided with a shutter assembly having an integrated thermistor. In one example, a device includes a shutter assembly. The shutter assembly includes a paddle configured to move between an open position and a closed position. The paddle is configured to block external infrared radiation from reaching a focal plane array (FPA) in a closed position, and pass the external infrared radiation to the FPA in an open position. The shutter assembly also includes an embedded thermistor configured to sense a temperature of the paddle when the paddle is in the open position. In another example, an infrared sensor assembly includes a first set of mechanically engageable electrical contacts for engaging with a second set of mechanically engageable electrical contacts of a shutter assembly electrically coupled with a thermistor through a conductive path. Additional devices and related methods are also provided.

Abstract: Techniques to facilitate radar data processing are disclosed. In one example, a radar system includes a frame generation circuit and a frame processing circuit. The frame generation circuit is configured to receive radar signals. The frame generation circuit is further configured to convert the radar signals to at least one frame having a camera interface format. The frame processing circuit is configured to receive the at least one frame via a camera interface. The frame processing circuit is further configured to process the at least one frame. Related methods and devices are also provided.

Abstract: An infrared imaging system is provided with a shutter assembly having an integrated thermistor. In one example, a device includes a shutter assembly. The shutter assembly includes a paddle configured to move between an open position and a closed position. The paddle is configured to block external infrared radiation from reaching a focal plane array (FPA) in a closed position, and pass the external infrared radiation to the FPA in an open position. The shutter assembly also includes an embedded thermistor configured to sense a temperature of the paddle when the paddle is in the open position. In another example, an infrared sensor assembly includes a first set of mechanically engageable electrical contacts for engaging with a second set of mechanically engageable electrical contacts of a shutter assembly electrically coupled with a thermistor through a conductive path. Additional devices and related methods are also provided.

Abstract: Flight based infrared imaging systems and related techniques, and in particular UAS based thermal imaging systems, are provided to improve the monitoring capabilities of such systems over conventional infrared monitoring systems. An infrared imaging system is configured to compensate for various environmental effects (e.g., position and/or strength of the sun, atmospheric effects) to provide high resolution and accuracy radiometric measurements of targets imaged by the infrared imaging system. An infrared imaging system is alternatively configured to monitor and determine environmental conditions, modify data received from infrared imaging systems and other systems, modify flight paths and other commands, and/or create a representation of the environment.